{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr \n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mticker\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.io.shapereader import Reader\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import numpy as np\n",
    "import metpy.calc as mycalc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (longitude: 37, latitude: 37, level: 20, time: 120)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
       "  * latitude   (latitude) float32 26.0 25.75 25.5 25.25 ... 17.5 17.25 17.0\n",
       "  * level      (level) int32 50 100 150 200 250 300 ... 750 800 850 900 950 1000\n",
       "  * time       (time) datetime64[ns] 2018-09-01 ... 2018-09-30T18:00:00\n",
       "Data variables:\n",
       "    t          (time, level, latitude, longitude) float32 ...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c605f89a-4e13-4a33-87b0-d07a06c6c9dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c605f89a-4e13-4a33-87b0-d07a06c6c9dc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>longitude</span>: 37</li><li><span class='xr-has-index'>latitude</span>: 37</li><li><span class='xr-has-index'>level</span>: 20</li><li><span class='xr-has-index'>time</span>: 120</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cef62ea6-677c-4384-aa36-77acd94a20f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cef62ea6-677c-4384-aa36-77acd94a20f4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>109.0 109.2 109.5 ... 117.8 118.0</div><input id='attrs-3ccbb09a-b0be-4910-9dbb-2030f3fd0581' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ccbb09a-b0be-4910-9dbb-2030f3fd0581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6b193a6-3b2b-4791-9cda-4afcb6160f1a' class='xr-var-data-in' type='checkbox'><label for='data-a6b193a6-3b2b-4791-9cda-4afcb6160f1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([109.  , 109.25, 109.5 , 109.75, 110.  , 110.25, 110.5 , 110.75, 111.  ,\n",
       "       111.25, 111.5 , 111.75, 112.  , 112.25, 112.5 , 112.75, 113.  , 113.25,\n",
       "       113.5 , 113.75, 114.  , 114.25, 114.5 , 114.75, 115.  , 115.25, 115.5 ,\n",
       "       115.75, 116.  , 116.25, 116.5 , 116.75, 117.  , 117.25, 117.5 , 117.75,\n",
       "       118.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>26.0 25.75 25.5 ... 17.5 17.25 17.0</div><input id='attrs-21e44925-5bcd-4e1a-b06e-e73d08116b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21e44925-5bcd-4e1a-b06e-e73d08116b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21a42111-30e7-41bd-b6cd-9316483241b0' class='xr-var-data-in' type='checkbox'><label for='data-21a42111-30e7-41bd-b6cd-9316483241b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([26.  , 25.75, 25.5 , 25.25, 25.  , 24.75, 24.5 , 24.25, 24.  , 23.75,\n",
       "       23.5 , 23.25, 23.  , 22.75, 22.5 , 22.25, 22.  , 21.75, 21.5 , 21.25,\n",
       "       21.  , 20.75, 20.5 , 20.25, 20.  , 19.75, 19.5 , 19.25, 19.  , 18.75,\n",
       "       18.5 , 18.25, 18.  , 17.75, 17.5 , 17.25, 17.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>50 100 150 200 ... 850 900 950 1000</div><input id='attrs-3695eee8-a8af-4622-b3cb-cf1e48eb3224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3695eee8-a8af-4622-b3cb-cf1e48eb3224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13d712ae-4e58-4df5-8df6-aa144696ffd8' class='xr-var-data-in' type='checkbox'><label for='data-13d712ae-4e58-4df5-8df6-aa144696ffd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array([  50,  100,  150,  200,  250,  300,  350,  400,  450,  500,  550,  600,\n",
       "        650,  700,  750,  800,  850,  900,  950, 1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-09-01 ... 2018-09-30T18:00:00</div><input id='attrs-6ebf034b-b739-4679-822f-35e8690b50d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ebf034b-b739-4679-822f-35e8690b50d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b229a015-0b43-470a-b36d-e5392f62718b' class='xr-var-data-in' type='checkbox'><label for='data-b229a015-0b43-470a-b36d-e5392f62718b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-09-01T00:00:00.000000000&#x27;, &#x27;2018-09-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-01T12:00:00.000000000&#x27;, &#x27;2018-09-01T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-02T00:00:00.000000000&#x27;, &#x27;2018-09-02T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-02T12:00:00.000000000&#x27;, &#x27;2018-09-02T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-03T00:00:00.000000000&#x27;, &#x27;2018-09-03T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-03T12:00:00.000000000&#x27;, &#x27;2018-09-03T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-04T00:00:00.000000000&#x27;, &#x27;2018-09-04T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-04T12:00:00.000000000&#x27;, &#x27;2018-09-04T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-05T00:00:00.000000000&#x27;, &#x27;2018-09-05T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-05T12:00:00.000000000&#x27;, &#x27;2018-09-05T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-06T00:00:00.000000000&#x27;, &#x27;2018-09-06T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-06T12:00:00.000000000&#x27;, &#x27;2018-09-06T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-07T00:00:00.000000000&#x27;, &#x27;2018-09-07T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-07T12:00:00.000000000&#x27;, &#x27;2018-09-07T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-08T00:00:00.000000000&#x27;, &#x27;2018-09-08T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-08T12:00:00.000000000&#x27;, &#x27;2018-09-08T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-09T00:00:00.000000000&#x27;, &#x27;2018-09-09T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-09T12:00:00.000000000&#x27;, &#x27;2018-09-09T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-10T00:00:00.000000000&#x27;, &#x27;2018-09-10T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-10T12:00:00.000000000&#x27;, &#x27;2018-09-10T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-11T00:00:00.000000000&#x27;, &#x27;2018-09-11T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-11T12:00:00.000000000&#x27;, &#x27;2018-09-11T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-12T00:00:00.000000000&#x27;, &#x27;2018-09-12T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-12T12:00:00.000000000&#x27;, &#x27;2018-09-12T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-13T00:00:00.000000000&#x27;, &#x27;2018-09-13T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-13T12:00:00.000000000&#x27;, &#x27;2018-09-13T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-14T00:00:00.000000000&#x27;, &#x27;2018-09-14T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-14T12:00:00.000000000&#x27;, &#x27;2018-09-14T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-15T00:00:00.000000000&#x27;, &#x27;2018-09-15T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-15T12:00:00.000000000&#x27;, &#x27;2018-09-15T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-16T00:00:00.000000000&#x27;, &#x27;2018-09-16T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-16T12:00:00.000000000&#x27;, &#x27;2018-09-16T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-17T00:00:00.000000000&#x27;, &#x27;2018-09-17T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-17T12:00:00.000000000&#x27;, &#x27;2018-09-17T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-18T00:00:00.000000000&#x27;, &#x27;2018-09-18T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-18T12:00:00.000000000&#x27;, &#x27;2018-09-18T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-19T00:00:00.000000000&#x27;, &#x27;2018-09-19T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-19T12:00:00.000000000&#x27;, &#x27;2018-09-19T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-20T00:00:00.000000000&#x27;, &#x27;2018-09-20T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-20T12:00:00.000000000&#x27;, &#x27;2018-09-20T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-21T00:00:00.000000000&#x27;, &#x27;2018-09-21T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-21T12:00:00.000000000&#x27;, &#x27;2018-09-21T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-22T00:00:00.000000000&#x27;, &#x27;2018-09-22T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-22T12:00:00.000000000&#x27;, &#x27;2018-09-22T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-23T00:00:00.000000000&#x27;, &#x27;2018-09-23T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-23T12:00:00.000000000&#x27;, &#x27;2018-09-23T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-24T00:00:00.000000000&#x27;, &#x27;2018-09-24T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-24T12:00:00.000000000&#x27;, &#x27;2018-09-24T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-25T00:00:00.000000000&#x27;, &#x27;2018-09-25T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-25T12:00:00.000000000&#x27;, &#x27;2018-09-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-26T00:00:00.000000000&#x27;, &#x27;2018-09-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-26T12:00:00.000000000&#x27;, &#x27;2018-09-26T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-27T00:00:00.000000000&#x27;, &#x27;2018-09-27T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-27T12:00:00.000000000&#x27;, &#x27;2018-09-27T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-28T00:00:00.000000000&#x27;, &#x27;2018-09-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-28T12:00:00.000000000&#x27;, &#x27;2018-09-28T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-29T00:00:00.000000000&#x27;, &#x27;2018-09-29T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-29T12:00:00.000000000&#x27;, &#x27;2018-09-29T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-30T00:00:00.000000000&#x27;, &#x27;2018-09-30T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-30T12:00:00.000000000&#x27;, &#x27;2018-09-30T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f0e8c9a1-27b1-407f-89db-b4cf2296d617' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f0e8c9a1-27b1-407f-89db-b4cf2296d617' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-872763c2-e7b4-4370-a955-b98755b650d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-872763c2-e7b4-4370-a955-b98755b650d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e42d1233-73e6-4e3f-9878-4d3a7fc298e9' class='xr-var-data-in' type='checkbox'><label for='data-e42d1233-73e6-4e3f-9878-4d3a7fc298e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div><div class='xr-var-data'><pre>[3285600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-daf246bf-6b57-41f6-91eb-95d1c0683a49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-daf246bf-6b57-41f6-91eb-95d1c0683a49' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (longitude: 37, latitude: 37, level: 20, time: 120)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
       "  * latitude   (latitude) float32 26.0 25.75 25.5 25.25 ... 17.5 17.25 17.0\n",
       "  * level      (level) int32 50 100 150 200 250 300 ... 750 800 850 900 950 1000\n",
       "  * time       (time) datetime64[ns] 2018-09-01 ... 2018-09-30T18:00:00\n",
       "Data variables:\n",
       "    t          (time, level, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=xr.open_dataset('./T_temp.nc')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t&#x27; (time: 120, level: 20, latitude: 37, longitude: 37)&gt;\n",
       "[3285600 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
       "  * latitude   (latitude) float32 26.0 25.75 25.5 25.25 ... 17.5 17.25 17.0\n",
       "  * level      (level) int32 50 100 150 200 250 300 ... 750 800 850 900 950 1000\n",
       "  * time       (time) datetime64[ns] 2018-09-01 ... 2018-09-30T18:00:00\n",
       "Attributes:\n",
       "    units:          K\n",
       "    long_name:      Temperature\n",
       "    standard_name:  air_temperature</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'t'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 120</li><li><span class='xr-has-index'>level</span>: 20</li><li><span class='xr-has-index'>latitude</span>: 37</li><li><span class='xr-has-index'>longitude</span>: 37</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c5298ec3-7f9c-4fd7-b8b6-a94b755109a8' class='xr-array-in' type='checkbox' checked><label for='section-c5298ec3-7f9c-4fd7-b8b6-a94b755109a8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3285600 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-e338b1e4-71e6-4e8e-bd92-1fec43a39776' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e338b1e4-71e6-4e8e-bd92-1fec43a39776' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>109.0 109.2 109.5 ... 117.8 118.0</div><input id='attrs-f908abd8-df0a-4279-a7d0-b635cbeb9d05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f908abd8-df0a-4279-a7d0-b635cbeb9d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7a95d63-353b-431e-9189-9bf95f53c8fc' class='xr-var-data-in' type='checkbox'><label for='data-b7a95d63-353b-431e-9189-9bf95f53c8fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([109.  , 109.25, 109.5 , 109.75, 110.  , 110.25, 110.5 , 110.75, 111.  ,\n",
       "       111.25, 111.5 , 111.75, 112.  , 112.25, 112.5 , 112.75, 113.  , 113.25,\n",
       "       113.5 , 113.75, 114.  , 114.25, 114.5 , 114.75, 115.  , 115.25, 115.5 ,\n",
       "       115.75, 116.  , 116.25, 116.5 , 116.75, 117.  , 117.25, 117.5 , 117.75,\n",
       "       118.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>26.0 25.75 25.5 ... 17.5 17.25 17.0</div><input id='attrs-24f9c767-e1b5-479b-a959-cddb5d0fe2ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24f9c767-e1b5-479b-a959-cddb5d0fe2ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6b6c0ae-6d26-4b2b-9e09-8c45d1c32a91' class='xr-var-data-in' type='checkbox'><label for='data-d6b6c0ae-6d26-4b2b-9e09-8c45d1c32a91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([26.  , 25.75, 25.5 , 25.25, 25.  , 24.75, 24.5 , 24.25, 24.  , 23.75,\n",
       "       23.5 , 23.25, 23.  , 22.75, 22.5 , 22.25, 22.  , 21.75, 21.5 , 21.25,\n",
       "       21.  , 20.75, 20.5 , 20.25, 20.  , 19.75, 19.5 , 19.25, 19.  , 18.75,\n",
       "       18.5 , 18.25, 18.  , 17.75, 17.5 , 17.25, 17.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>50 100 150 200 ... 850 900 950 1000</div><input id='attrs-22cce044-b173-45f7-8965-8e526f60eef1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22cce044-b173-45f7-8965-8e526f60eef1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbcfe01-1ef3-49b7-a131-c7e9201233c3' class='xr-var-data-in' type='checkbox'><label for='data-4dbcfe01-1ef3-49b7-a131-c7e9201233c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array([  50,  100,  150,  200,  250,  300,  350,  400,  450,  500,  550,  600,\n",
       "        650,  700,  750,  800,  850,  900,  950, 1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-09-01 ... 2018-09-30T18:00:00</div><input id='attrs-d0c21f2e-9540-4790-a652-c1f9604e5bdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0c21f2e-9540-4790-a652-c1f9604e5bdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14238734-b3e1-4c17-ad2e-55048b3bcf7f' class='xr-var-data-in' type='checkbox'><label for='data-14238734-b3e1-4c17-ad2e-55048b3bcf7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-09-01T00:00:00.000000000&#x27;, &#x27;2018-09-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-01T12:00:00.000000000&#x27;, &#x27;2018-09-01T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-02T00:00:00.000000000&#x27;, &#x27;2018-09-02T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-02T12:00:00.000000000&#x27;, &#x27;2018-09-02T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-03T00:00:00.000000000&#x27;, &#x27;2018-09-03T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-03T12:00:00.000000000&#x27;, &#x27;2018-09-03T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-04T00:00:00.000000000&#x27;, &#x27;2018-09-04T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-04T12:00:00.000000000&#x27;, &#x27;2018-09-04T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-05T00:00:00.000000000&#x27;, &#x27;2018-09-05T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-05T12:00:00.000000000&#x27;, &#x27;2018-09-05T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-06T00:00:00.000000000&#x27;, &#x27;2018-09-06T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-06T12:00:00.000000000&#x27;, &#x27;2018-09-06T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-07T00:00:00.000000000&#x27;, &#x27;2018-09-07T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-07T12:00:00.000000000&#x27;, &#x27;2018-09-07T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-08T00:00:00.000000000&#x27;, &#x27;2018-09-08T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-08T12:00:00.000000000&#x27;, &#x27;2018-09-08T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-09T00:00:00.000000000&#x27;, &#x27;2018-09-09T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-09T12:00:00.000000000&#x27;, &#x27;2018-09-09T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-10T00:00:00.000000000&#x27;, &#x27;2018-09-10T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-10T12:00:00.000000000&#x27;, &#x27;2018-09-10T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-11T00:00:00.000000000&#x27;, &#x27;2018-09-11T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-11T12:00:00.000000000&#x27;, &#x27;2018-09-11T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-12T00:00:00.000000000&#x27;, &#x27;2018-09-12T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-12T12:00:00.000000000&#x27;, &#x27;2018-09-12T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-13T00:00:00.000000000&#x27;, &#x27;2018-09-13T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-13T12:00:00.000000000&#x27;, &#x27;2018-09-13T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-14T00:00:00.000000000&#x27;, &#x27;2018-09-14T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-14T12:00:00.000000000&#x27;, &#x27;2018-09-14T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-15T00:00:00.000000000&#x27;, &#x27;2018-09-15T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-15T12:00:00.000000000&#x27;, &#x27;2018-09-15T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-16T00:00:00.000000000&#x27;, &#x27;2018-09-16T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-16T12:00:00.000000000&#x27;, &#x27;2018-09-16T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-17T00:00:00.000000000&#x27;, &#x27;2018-09-17T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-17T12:00:00.000000000&#x27;, &#x27;2018-09-17T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-18T00:00:00.000000000&#x27;, &#x27;2018-09-18T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-18T12:00:00.000000000&#x27;, &#x27;2018-09-18T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-19T00:00:00.000000000&#x27;, &#x27;2018-09-19T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-19T12:00:00.000000000&#x27;, &#x27;2018-09-19T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-20T00:00:00.000000000&#x27;, &#x27;2018-09-20T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-20T12:00:00.000000000&#x27;, &#x27;2018-09-20T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-21T00:00:00.000000000&#x27;, &#x27;2018-09-21T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-21T12:00:00.000000000&#x27;, &#x27;2018-09-21T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-22T00:00:00.000000000&#x27;, &#x27;2018-09-22T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-22T12:00:00.000000000&#x27;, &#x27;2018-09-22T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-23T00:00:00.000000000&#x27;, &#x27;2018-09-23T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-23T12:00:00.000000000&#x27;, &#x27;2018-09-23T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-24T00:00:00.000000000&#x27;, &#x27;2018-09-24T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-24T12:00:00.000000000&#x27;, &#x27;2018-09-24T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-25T00:00:00.000000000&#x27;, &#x27;2018-09-25T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-25T12:00:00.000000000&#x27;, &#x27;2018-09-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-26T00:00:00.000000000&#x27;, &#x27;2018-09-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-26T12:00:00.000000000&#x27;, &#x27;2018-09-26T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-27T00:00:00.000000000&#x27;, &#x27;2018-09-27T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-27T12:00:00.000000000&#x27;, &#x27;2018-09-27T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-28T00:00:00.000000000&#x27;, &#x27;2018-09-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-28T12:00:00.000000000&#x27;, &#x27;2018-09-28T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-29T00:00:00.000000000&#x27;, &#x27;2018-09-29T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-29T12:00:00.000000000&#x27;, &#x27;2018-09-29T18:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-30T00:00:00.000000000&#x27;, &#x27;2018-09-30T06:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-30T12:00:00.000000000&#x27;, &#x27;2018-09-30T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9abdab7a-5134-4a13-a7d4-f1482f47c506' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9abdab7a-5134-4a13-a7d4-f1482f47c506' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 't' (time: 120, level: 20, latitude: 37, longitude: 37)>\n",
       "[3285600 values with dtype=float32]\n",
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       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
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       "  * time       (time) datetime64[ns] 2018-09-01 ... 2018-09-30T18:00:00\n",
       "Attributes:\n",
       "    units:          K\n",
       "    long_name:      Temperature\n",
       "    standard_name:  air_temperature"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T=data['t']\n",
    "T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t&#x27; (level: 20, latitude: 37, longitude: 37)&gt;\n",
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       "        ...,\n",
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       "        [ 1.2173157 ,  0.7523804 ,  0.2805481 , ...,  0.7111511 ,\n",
       "          0.59661865,  0.3515625 ]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
       "  * latitude   (latitude) float32 26.0 25.75 25.5 25.25 ... 17.5 17.25 17.0\n",
       "  * level      (level) int32 50 100 150 200 250 300 ... 750 800 850 900 950 1000\n",
       "    time       datetime64[ns] 2018-09-16T06:00:00</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'t'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 20</li><li><span class='xr-has-index'>latitude</span>: 37</li><li><span class='xr-has-index'>longitude</span>: 37</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0a230b9b-41e8-4566-94d8-17022b5ea25a' class='xr-array-in' type='checkbox' checked><label for='section-0a230b9b-41e8-4566-94d8-17022b5ea25a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.01678 0.129 0.2344 0.2962 0.2939 ... 0.8394 0.7112 0.5966 0.3516</span></div><div class='xr-array-data'><pre>array([[[ 0.01678467,  0.12901306,  0.23435974, ..., -0.9337311 ,\n",
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       "          2.7698364 ,  2.9416199 ]],\n",
       "\n",
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       "          1.7001343 ,  1.7642517 ],\n",
       "...\n",
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       "         -0.32318115, -0.33233643],\n",
       "        [ 0.22879028,  0.04327393,  0.01348877, ..., -0.4102173 ,\n",
       "         -0.38046265, -0.35983276],\n",
       "        [ 0.5059204 ,  0.15551758, -0.1376648 , ..., -0.44000244,\n",
       "         -0.458313  , -0.4835205 ]],\n",
       "\n",
       "       [[ 1.2333679 ,  1.7945251 ,  2.1999207 , ...,  0.35614014,\n",
       "         -0.11798096,  0.28744507],\n",
       "        [ 1.6868591 ,  2.5159912 ,  2.7060852 , ..., -0.02175903,\n",
       "          0.14541626,  0.45462036],\n",
       "        [ 1.8494873 ,  2.7473145 ,  2.9282532 , ...,  0.32635498,\n",
       "          0.26223755,  0.3149109 ],\n",
       "        ...,\n",
       "        [ 0.2210083 ,  0.27368164,  0.5164795 , ...,  0.6744995 ,\n",
       "          0.75009155,  0.6355591 ],\n",
       "        [ 0.5645752 ,  0.34927368,  0.17520142, ...,  0.7775574 ,\n",
       "          0.7409363 ,  0.5302124 ],\n",
       "        [ 1.2173157 ,  0.7523804 ,  0.2805481 , ...,  0.7111511 ,\n",
       "          0.59661865,  0.3515625 ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-24ba02a8-ccf2-45b8-803d-59a35c45f85f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-24ba02a8-ccf2-45b8-803d-59a35c45f85f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>109.0 109.2 109.5 ... 117.8 118.0</div><input id='attrs-33bc041b-0199-4b38-8ff0-5d2e0ff28b42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33bc041b-0199-4b38-8ff0-5d2e0ff28b42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff161154-efb1-4448-8305-c6db5fd91ab2' class='xr-var-data-in' type='checkbox'><label for='data-ff161154-efb1-4448-8305-c6db5fd91ab2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([109.  , 109.25, 109.5 , 109.75, 110.  , 110.25, 110.5 , 110.75, 111.  ,\n",
       "       111.25, 111.5 , 111.75, 112.  , 112.25, 112.5 , 112.75, 113.  , 113.25,\n",
       "       113.5 , 113.75, 114.  , 114.25, 114.5 , 114.75, 115.  , 115.25, 115.5 ,\n",
       "       115.75, 116.  , 116.25, 116.5 , 116.75, 117.  , 117.25, 117.5 , 117.75,\n",
       "       118.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>26.0 25.75 25.5 ... 17.5 17.25 17.0</div><input id='attrs-8bf89f60-35b3-4ca4-b965-b53e6fade4e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bf89f60-35b3-4ca4-b965-b53e6fade4e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-202be856-1425-4ed9-8732-2aaec137ee57' class='xr-var-data-in' type='checkbox'><label for='data-202be856-1425-4ed9-8732-2aaec137ee57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([26.  , 25.75, 25.5 , 25.25, 25.  , 24.75, 24.5 , 24.25, 24.  , 23.75,\n",
       "       23.5 , 23.25, 23.  , 22.75, 22.5 , 22.25, 22.  , 21.75, 21.5 , 21.25,\n",
       "       21.  , 20.75, 20.5 , 20.25, 20.  , 19.75, 19.5 , 19.25, 19.  , 18.75,\n",
       "       18.5 , 18.25, 18.  , 17.75, 17.5 , 17.25, 17.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>50 100 150 200 ... 850 900 950 1000</div><input id='attrs-67712c8a-b36d-4ab5-b8f6-7200fa4e1a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67712c8a-b36d-4ab5-b8f6-7200fa4e1a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ea4628-aeca-470f-ba2a-1230c070d0ca' class='xr-var-data-in' type='checkbox'><label for='data-c4ea4628-aeca-470f-ba2a-1230c070d0ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array([  50,  100,  150,  200,  250,  300,  350,  400,  450,  500,  550,  600,\n",
       "        650,  700,  750,  800,  850,  900,  950, 1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-09-16T06:00:00</div><input id='attrs-b7bf4598-b590-46db-91aa-e7211eba0338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7bf4598-b590-46db-91aa-e7211eba0338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-093ebe38-9ecf-4612-8f53-28af7fcd13de' class='xr-var-data-in' type='checkbox'><label for='data-093ebe38-9ecf-4612-8f53-28af7fcd13de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2018-09-16T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4db29c2f-e6a5-4f9b-94ce-9d28463063d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4db29c2f-e6a5-4f9b-94ce-9d28463063d3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't' (level: 20, latitude: 37, longitude: 37)>\n",
       "array([[[ 0.01678467,  0.12901306,  0.23435974, ..., -0.9337311 ,\n",
       "         -0.6588898 , -0.2511902 ],\n",
       "        [ 0.55044556,  0.6855774 ,  0.77490234, ..., -0.8031769 ,\n",
       "         -0.7138519 , -0.45503235],\n",
       "        [ 1.0818176 ,  1.1276245 ,  1.1092987 , ..., -0.37487793,\n",
       "         -0.4825287 , -0.45503235],\n",
       "        ...,\n",
       "        [-2.2621613 , -2.147644  , -1.955246  , ...,  1.5101166 ,\n",
       "          1.6979218 ,  1.8330688 ],\n",
       "        [-2.0903778 , -1.9140167 , -1.7033081 , ...,  2.025467  ,\n",
       "          2.2567902 ,  2.4148254 ],\n",
       "        [-1.616272  , -1.4582367 , -1.2887421 , ...,  2.5018616 ,\n",
       "          2.7698364 ,  2.9416199 ]],\n",
       "\n",
       "       [[ 3.7660522 ,  3.9882355 ,  4.1943665 , ...,  2.797226  ,\n",
       "          2.9186096 ,  3.003357  ],\n",
       "        [ 4.056946  ,  4.214981  ,  4.302017  , ...,  2.2864685 ,\n",
       "          2.325409  ,  2.396408  ],\n",
       "        [ 4.1760406 ,  4.153137  ,  4.052368  , ...,  1.74823   ,\n",
       "          1.7001343 ,  1.7642517 ],\n",
       "...\n",
       "        [ 0.2677307 ,  0.24942017,  0.4440918 , ..., -0.40563965,\n",
       "         -0.32318115, -0.33233643],\n",
       "        [ 0.22879028,  0.04327393,  0.01348877, ..., -0.4102173 ,\n",
       "         -0.38046265, -0.35983276],\n",
       "        [ 0.5059204 ,  0.15551758, -0.1376648 , ..., -0.44000244,\n",
       "         -0.458313  , -0.4835205 ]],\n",
       "\n",
       "       [[ 1.2333679 ,  1.7945251 ,  2.1999207 , ...,  0.35614014,\n",
       "         -0.11798096,  0.28744507],\n",
       "        [ 1.6868591 ,  2.5159912 ,  2.7060852 , ..., -0.02175903,\n",
       "          0.14541626,  0.45462036],\n",
       "        [ 1.8494873 ,  2.7473145 ,  2.9282532 , ...,  0.32635498,\n",
       "          0.26223755,  0.3149109 ],\n",
       "        ...,\n",
       "        [ 0.2210083 ,  0.27368164,  0.5164795 , ...,  0.6744995 ,\n",
       "          0.75009155,  0.6355591 ],\n",
       "        [ 0.5645752 ,  0.34927368,  0.17520142, ...,  0.7775574 ,\n",
       "          0.7409363 ,  0.5302124 ],\n",
       "        [ 1.2173157 ,  0.7523804 ,  0.2805481 , ...,  0.7111511 ,\n",
       "          0.59661865,  0.3515625 ]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 109.0 109.2 109.5 109.8 ... 117.5 117.8 118.0\n",
       "  * latitude   (latitude) float32 26.0 25.75 25.5 25.25 ... 17.5 17.25 17.0\n",
       "  * level      (level) int32 50 100 150 200 250 300 ... 750 800 850 900 950 1000\n",
       "    time       datetime64[ns] 2018-09-16T06:00:00"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jupin=T.loc['2018-09-16T06',:,:,:]\n",
    "jupin1=jupin-jupin.mean(axis=(1,2))\n",
    "jupin1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(10,10))\n",
    "ax=fig.subplots(1,1)\n",
    "levels=[-3,-2,-1,0,1,2,3,4,5,6]\n",
    "colors=['#56b0ff','#75d3ff','#bcf9ff','#eaffff','#fff1bc','#ffd699','#ffac75','#ff3d3d','#d8152f']\n",
    "colorbar=ax.contourf(T['longitude'],T['level'].loc[150:],jupin1.loc[150:,:,113.25],levels=levels,colors=colors)\n",
    "plt.colorbar(colorbar,location='bottom',pad=0.05,aspect=40)\n",
    "#####横坐标显示维度\n",
    "lon_formatter = LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "####纵坐标格式显示\n",
    "ax.invert_yaxis()\n",
    "ax.set_yscale('symlog')\n",
    "##暴力显示\n",
    "plt.yticks([1000, 850,700, 500, 400, 300,250,200,150], [\"1000\", \"850\", \"700\", \"500\", \"400\", \"300\", \"250\", \"200\",\"150\"])\n",
    "ax.set_ylabel('Pressure (hPa)')\n",
    "ax2=ax.twinx()\n",
    "ax2.set_yticks([0,4,8,12,16])\n",
    "ax2.set_ylabel('Height (km)')\n",
    "plt.yticks([4,8,12],['4','8','12'])\n",
    "plt.title(\"Tempreture ano\")\n",
    "plt.tight_layout()\n",
    "plt.savefig('./tcT.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.4 ('py310')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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